Gautam Pant

33 papers receiving 852 citations

Peers

Gautam Pant
Comparison fields: 5 of 65
  • Information Systems 627
  • Artificial Intelligence 301
  • Computer Networks and Communications 182
  • Signal Processing 133
  • Sociology and Political Science 102
Replace Raymond Kosala with:
Raymond Kosala Indonesia
Kaiquan Xu China
Rishabh Mehrotra United Kingdom
Shenghua Bao China
Wei Thoo Yue Hong Kong
Sasha Romanosky United States
Gerhard Paaß Germany
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Giuseppe Destefanis United Kingdom
Gautam Pant relative to Raymond Kosala Indonesia Raymond Kosala's profile →
Citations per field
00.5×10.3×
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Citations per year

Countries citing papers authored by Gautam Pant

Since Specialization
Citations

This map shows the geographic impact of Gautam Pant's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gautam Pant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gautam Pant more than expected).

Fields of papers citing papers by Gautam Pant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gautam Pant. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gautam Pant. The network helps show where Gautam Pant may publish in the future.

Co-authorship network of co-authors of Gautam Pant

This figure shows the co-authorship network connecting the top 25 collaborators of Gautam Pant. A scholar is included among the top collaborators of Gautam Pant based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gautam Pant. Gautam Pant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Predicting Labor Market Competition: Leveraging Interfirm Network and Employee Skills
1
2 16
3 28
4 22
5 11
6 36
7 4
8 10
9 5
10 39
11 14
12
A NETWORK-BASED APPROACH TO MINING COMPETITOR RELATIONSHIPS FROM ONLINE NEWS
8
13 40
14 104
15 100
16 35
17
Search Engine-Crawler Symbiosis
1
18
Target Seeking Crawlers and their Topical Performance
4
19
Topic-Driven Crawlers: Machine Learning Issues
8
20
Latency-dependent fitness in evolutionary multithreaded Web agents
3

About Gautam Pant

Gautam Pant is a scholar working on Information Systems, Statistical and Nonlinear Physics and Business and International Management, having authored 36 papers that have together received 941 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (16 papers), Complex Network Analysis Techniques (12 papers) and Web visibility and informetrics (11 papers). The work is most often cited by research in Information Systems (627 citations), Signal Processing (133 citations) and Artificial Intelligence (301 citations). Gautam Pant has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Padmini Srinivasan, Olivia R. Liu Sheng, Filippo Menczer, Zhongming Ma, Miguel E. Ruiz, Kostas Tsioutsiouliklis, J.M. Johnson, C. Lee Giles, Balaji Padmanabhan and T. S. Raghu. Their work appears in journals such as Information & Management, Information Systems Research and IEEE Transactions on Knowledge and Data Engineering.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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